1936-4954
Published by: Society for Industrial and Applied Mathematics
https://www.siam.org/publications/journals/siam-journal-on-imaging-sciences-siims
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 122 | 50 | 87 | 16 |
| Computer Science | 324 | 56 | 92 | 18 |
| Engineering and Technology | 880 | 21 | 30 | 9 |
The scientific interests tackled in the journal are Algorithm, Artificial intelligence, Mathematical analysis, Computer vision and Mathematical optimization. The Algorithm works featured in the journal incorporate elements from Image processing, Image restoration and Inverse problem. The Artificial intelligence study featured in the journal draws parallels with the field of Pattern recognition.
The study on Mathematical analysis presented in the journal intersects with the topics under Geometry. The journal explores topics in Mathematical optimization which can be helpful for research in disciplines like Deblurring, Applied mathematics and Convex optimization. Image segmentation is a major topic of Segmentation research.
The most cited papers facilitate discussions on Algorithm, Mathematical optimization, Mathematical analysis, Artificial intelligence and Applied mathematics. The journal papers address concerns in Algorithm which are intertwined with other disciplines, such as Image (mathematics), Inpainting and Deblurring. The journal papers focus on Regularization (mathematics) but sometimes tackle the closely related topic of Image processing which is concerned with Inverse problem.
Siam Journal on Imaging Sciences facilitates discussions on Algorithm, Artificial intelligence, Image processing, Applied mathematics and Image (mathematics). The journal focuses on Algorithm but the discussions also offer insight into other areas such as Robust principal component analysis, Inverse problem and Minification. The concepts on Artificial intelligence presented in the journal can also apply to other research fields, including Computer vision and Pattern recognition.
It explores issues in Computer vision which can be linked to other research areas like Regularization (mathematics) and Focus (optics). Some problems in Image processing that were presented in Siam Journal on Imaging Sciences overlapped with concepts under Fixed point, Image denoising, Euler's formula, Lipschitz continuity and Restricted isometry property. While Siam Journal on Imaging Sciences focused on Applied mathematics, it was also able to explore topics like Riemannian optimization, Duality (optimization), Superlinear convergence, Class (set theory) and Neural information processing.
A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.
The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.
The top authors publishing in Siam Journal on Imaging Sciences (based on the number of publications) are:
The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing in Siam Journal on Imaging Sciences (based on the number of publications) are:
The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.
The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.
During the most recent 2021 edition, 84.31% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 37.50% were posted by at least one author from the top 10 institutions publishing in the journal. Another 12.50% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 12.50% of all publications and 37.50% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.
The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.
The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.
Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).
The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Regev Cohen;Michael Elad;Peyman Milanfar
(2021)Byeongsu Sim;Gyutaek Oh;Jeongsol Kim;Chanyong Jung
(2020)Jean-Christophe Pesquet;Audrey Repetti;Matthieu Terris;Yves Wiaux
(2021)Chao Wang;Min Tao;James G. Nagy;Yifei Lou
(2021)Yat Tin Chow;Youjun Deng;Youzi He;Hongyu Liu
(2021)Sebastian Lunz;Andreas Hauptmann;Tanja Tarvainen;Carola-Bibiane Schönlieb
(2021)HanQin Cai;Keaton Hamm;Longxiu Huang;Deanna Needell
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French Institute for Research in Computer Science and Automation - INRIA
Publications: 2
